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Contribution to Book
Information Privacy on Online Social Networks: Illusion-in-Progress in the Age of Big Data?
Analytics and Data Science (2018)
  • Shwadhin Sharma, California State University, Monterey Bay
  • Babita Gupta, California State University, Monterey Bay
Abstract
In the age of big data where vast amounts of data are collected, stored, and analyzed from all possible sources, the growth of social media and the culture of sharing personal information have created privacy and security related issues. Drawing on the prospect theory and rational apathy theory, we present a research model to investigate why people disclose personal information on Online Social Networks. This paper analyzes the impact of situational factors such as information control, ownership of personal information, and apathy towards privacy concern of users on Online Social Network. We describe the proposed research design for collecting our data and analysis using structural equation modeling to analyze the data. The findings and conclusions will be presented after the data is analyzed. This work contributes to the network analytics by developing new constructs using the Prospect Theory and the Rational Apathy theory from the fields of behavioral economics and social psychology respectively.
Keywords
  • Online social networks,
  • Big data,
  • Information privacy,
  • Information control,
  • Ownership of personal information,
  • Privacy apathy,
  • Prospect theory,
  • Information disclosure,
  • Rational apathy
Publication Date
2018
Editor
Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones
Publisher
Springer
Series
Annals of Information Systems
DOI
10.1007/978-3-319-58097-5_13
Citation Information
Shwadhin Sharma and Babita Gupta. "Information Privacy on Online Social Networks: Illusion-in-Progress in the Age of Big Data?" Analytics and Data Science (2018) p. 179 - 196
Available at: http://works.bepress.com/babita-gupta/14/